We are developing solutions for the automotive industry in the following categories:
- Defect Detection
- Seat Belt Detection
- Driver Emotion Tracking and Alert Systems
- Object Detection Systems with In-Car Cameras Enhancing Customer Experience
- Blind Spot Alert for Drivers
- Driver Recognition System
- Carjack Detection and Anomaly Alert System
Leveraging advanced deep learning, image processing, and computer vision technologies, we deliver precise and efficient solutions to streamline your production process.
Our expertise lies in the utilization of photorealistic simulations like Omniverse, enabling us to create highly accurate synthetic data. This allows us to simulate various production scenarios, ensuring that our detection systems are robust and reliable.
Defect Detection
By integrating Omniverse’s simulation technology with our computer vision platforms, we provide solutions to many challenges faced in the automotive sector.
As shown below, synthetic data is generated for scratches. These scratches are randomly placed in different positions on a vehicle part. This allows for the quick and easy acquisition of the data needed to train a deep learning model.
The first image below shows the car we have been working on so far. The second image demonstrates the performance of a deep learning model trained with data generated from this car on a real part.
We rapidly develop systems that solve automotive industry problems like this in a very short time. Check our synthetic data service for more information.
We generate synthetic data and create diverse production scenarios to enhance the accuracy of our detection systems. This ensures that we can anticipate and address potential issues before they become costly problems.
Our solutions are compatible with modern conveyor systems, providing seamless integration into your existing production line. This ensures minimal disruption while maximizing efficiency and accuracy in part detection.
Driver Emotion Tracking and Alert Systems
Our Driver Emotion Tracking and Alert Systems utilize cutting-edge deep learning models and synthetic data generation to monitor and analyze driver emotions in real-time. This system identifies signs of fatigue, distraction, and stress by tracking facial expressions, eye movements, and other physiological indicators.
By placing these simulated emotional states on synthetic avatars, we can and efficiently gather the data necessary to train our models.
Blind Spot Alert for Drivers
Our Blind Spot Alert System leverages advanced computer vision algorithms and real-world data to enhance driver safety by monitoring blind spots with additional cameras or by upgrading existing systems. While we utilize Omniverse’s simulation technology for other applications, this particular solution primarily focuses on real-time data and sophisticated computer vision techniques.
By integrating extra cameras strategically placed around the vehicle, our system continuously scans blind spots, providing drivers with crucial alerts to prevent potential collisions. This real-time monitoring and alert system ensures that drivers are aware of vehicles, pedestrians, or obstacles that might otherwise go unnoticed.
Driver Recognition System
Our Driver Face Recognition System enhances vehicle security by identifying and notifying the car owner when an unauthorized person attempts to start the vehicle. This innovative system uses state-of-the-art one-shot learning algorithms and real-world data to ensure accurate and reliable recognition.
The system works by continuously monitoring the driver’s face through an integrated camera. When someone tries to start the car, the system captures their image and instantly compares it to the database. If the driver is not recognized, an alert is sent to the car owner, notifying them of the attempt.
If the car owner approves the new driver, they can easily add their photo to the system’s database, allowing future recognition and seamless access. This robust and efficient system significantly enhances vehicle security, providing peace of mind for car owners.
Carjack Detection and Anomaly Alert System
Our Carjack Detection and Anomaly Alert System is designed to enhance vehicle security by identifying and notifying the car owner of potential carjacking or other suspicious activities. Utilizing advanced computer vision algorithms and real-world data, this system ensures accurate and timely detection of abnormal activities within the vehicle.
The system continuously monitors the vehicle’s interior through integrated cameras, analyzing driver and passenger behavior for signs of distress or coercion. If the system detects unusual movements or interactions indicative of a carjacking, it immediately alerts the car owner, providing real-time notifications of the potential threat.
Our anomaly detection algorithms are fine-tuned to identify abnormal behaviors, such as sudden movements, forced entry, or distressed gestures, providing a robust and reliable security measure for car owners.